2024
Dynamic functional connectivity in anorexia nervosa: alterations in states of low connectivity and state transitions
Boehm I, Mennigen E, Geisler D, Poller N, Gramatke K, Calhoun V, Roessner V, King J, Ehrlich S. Dynamic functional connectivity in anorexia nervosa: alterations in states of low connectivity and state transitions. Journal Of Child Psychology And Psychiatry 2024, 65: 1299-1310. PMID: 38480007, DOI: 10.1111/jcpp.13970.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAnorexia NervosaConnectomeDefault Mode NetworkFemaleHumansMagnetic Resonance ImagingNerve NetConceptsAnorexia nervosaFunctional connectivityResting state functional connectivityResting-state functional MRI dataInternalizing mental disordersAssociated with preoccupationOnset of anorexia nervosaFunctional MRI dataFemale healthy controlsHealthy controlsDynamic functional connectivityDynamics of functional connectivityTemporal dynamics of functional connectivityFunctional connectivity statesMental disordersStatic analytical approachesGroup differencesNervosaFractional timeMRI dataAdolescentsConnectivity statesFemale patientsClinical featuresTemporal dynamics
2023
A small-molecule degrader of TET3 as treatment for anorexia nervosa in an animal model
Lv H, Catarino J, Li D, Liu B, Gao X, Horvath T, Huang Y. A small-molecule degrader of TET3 as treatment for anorexia nervosa in an animal model. Proceedings Of The National Academy Of Sciences Of The United States Of America 2023, 120: e2300015120. PMID: 37036983, PMCID: PMC10120042, DOI: 10.1073/pnas.2300015120.Peer-Reviewed Original ResearchMeSH KeywordsAgouti-Related ProteinAnimalsAnorexia NervosaDioxygenasesHumansHypothalamusMiceModels, AnimalNeuronsConceptsVesicular GABA transporterActivity-based anorexiaExpression of AgRPNeuropeptide YAgRP neuronsAnorexia nervosaAnxiety/depressive-like behaviorsHypothalamic AgRP neuronsDepressive-like behaviorCurrent treatment optionsHigh relapse rateStress-related disordersHuman neuronal cellsNutritional supportRelapse rateTreatment optionsAnxiolytic effectsPsychiatric illnessMouse modelAnimal modelsHigh mortalityGABA transporterGenetic ablationNeuronal cellsNeuronsA Pilot Open Trial of a Digital Mindfulness-Based Intervention for Anorexia Nervosa
Sala M, Levinson C, Kober H, Roos C. A Pilot Open Trial of a Digital Mindfulness-Based Intervention for Anorexia Nervosa. Behavior Therapy 2023, 54: 637-651. PMID: 37330254, DOI: 10.1016/j.beth.2023.01.003.Peer-Reviewed Original ResearchConceptsEmotion regulationBody dissatisfactionState mindfulnessTrait mindfulnessSkill useDisorder symptomsAnorexia nervosaDigital mindfulness-based interventionMindfulness-based interventionsHigher state mindfulnessPilot open trialEcological momentary assessmentOpen trialPerson levelDaily lifeMeasures of acceptabilityED symptomsMindfulnessMomentary assessmentDigital mindfulnessDaily meditationMotivational supportAcceptability ratingsPost changesDissatisfactionPredictors of relapse in eating disorders: A meta-analysis
Sala M, Keshishian A, Song S, Moskowitz R, Bulik C, Roos C, Levinson C. Predictors of relapse in eating disorders: A meta-analysis. Journal Of Psychiatric Research 2023, 158: 281-299. PMID: 36623362, DOI: 10.1016/j.jpsychires.2023.01.002.Peer-Reviewed Original ResearchMeSH KeywordsAnorexia NervosaBinge-Eating DisorderBulimia NervosaComorbidityFeeding and Eating DisordersHumansPsychopathologyConceptsPredictors of relapseED relapseStudy-level effect sizesIndividual differencesPotential moderatorsED psychopathologyModerator effectsVariety of variablesHigh motivationED subtypesMultilevel mixed-effects modelsPredictor assessmentED onsetEffect sizeFuture researchMultilevel random effects modelsStrongest predictorModeratorPsychiatric comorbidityMixed effects modelsRandom-effects modelPredictorsDisordersHigher oddsBody fat
2022
What next for eating disorder genetics? Replacing myths with facts to sharpen our understanding
Huckins LM, Signer R, Johnson J, Wu YK, Mitchell KS, Bulik CM. What next for eating disorder genetics? Replacing myths with facts to sharpen our understanding. Molecular Psychiatry 2022, 27: 3929-3938. PMID: 35595976, PMCID: PMC9718676, DOI: 10.1038/s41380-022-01601-y.Peer-Reviewed Original ResearchMapping anorexia nervosa genes to clinical phenotypes
Johnson J, Cote A, Dobbyn A, Sloofman L, Xu J, Cotter L, Charney A, Consortium E, Birgegård A, Jordan J, Kennedy M, Landén M, Maguire S, Martin N, Mortensen P, Thornton L, Bulik C, Huckins L. Mapping anorexia nervosa genes to clinical phenotypes. Psychological Medicine 2022, 53: 2619-2633. PMID: 35379376, PMCID: PMC10123844, DOI: 10.1017/s0033291721004554.Peer-Reviewed Original ResearchConceptsBody mass indexGenome-wide association studiesTranscriptome imputationElectronic health record phenotypingAssociation studiesPhenome-wide association studyS-PrediXcan analysisMeasurement of cholesterolTraditional genome-wide association studiesGenes associated with ANAssociation of genetic variantsSubstance useGenetically regulated gene expressionImpact of body mass indexConsequences of aberrant expressionBiobank cohortBiobank populationAssociated with measuresAssociation of ANGWAS findingsSecondary analysisS-PrediXcanDisease riskMass indexSignificant genes
2021
Preoccupation in bulimia nervosa, binge‐eating disorder, anorexia nervosa, and higher weight
Lydecker JA, Simpson L, Smith SR, White MA, Grilo CM. Preoccupation in bulimia nervosa, binge‐eating disorder, anorexia nervosa, and higher weight. International Journal Of Eating Disorders 2021, 55: 76-84. PMID: 34713460, PMCID: PMC8963447, DOI: 10.1002/eat.23630.Peer-Reviewed Original ResearchConceptsEating-disorder psychopathologyBinge-eating disorderShape/weightStudy groupBulimia nervosaAnorexia nervosaFood/eatingDisorder treatment outcomesEating-disorder featuresCognitive behavioral therapyHigher body weightFood/Treatment outcomesBody weightHW groupWeb-based surveyFormal diagnosisOvert behavioral featuresNervosaDepressionDisordersSignificant differencesWeight preoccupationPsychopathologyEatingRisk factors for eating disorders: an umbrella review of published meta-analyses
Solmi M, Radua J, Stubbs B, Ricca V, Moretti D, Busatta D, Carvalho A, Dragioti E, Favaro A, Monteleone A, Shin J, Fusar-Poli P, Castellini G. Risk factors for eating disorders: an umbrella review of published meta-analyses. Brazilian Journal Of Psychiatry 2021, 43: 314-323. PMID: 32997075, PMCID: PMC8136381, DOI: 10.1590/1516-4446-2020-1099.Peer-Reviewed Original ResearchMeSH KeywordsAnorexia NervosaBulimia NervosaChildFeeding and Eating DisordersHumansProspective StudiesRisk FactorsConceptsMeta-analysesRisk factorsAssessment of Multiple Systematic Reviews 2Systematic review of observational studiesReview of observational studiesExcess significance biasSystematic Reviews 2Grade significant evidenceUmbrella review approachRandom-effects meta-analysesSmall-study effectsProspective cohort studyEating DisordersAMSTAR-2Umbrella reviewUmbrella review of published meta-analysesCohort studySystematic reviewReviewer 2Observational studyStressful eventsCredible evidenceRiskAnorexia nervosaAssociationIndividuals Diagnosed with Binge-Eating Disorder Have DNA Hypomethylated Sites in Genes of the Metabolic System: A Pilot Study
Rodríguez-López ML, Martínez-Magaña JJ, Ruiz-Ramos D, García AR, Gonzalez L, Tovilla-Zarate CA, Sarmiento E, Juárez-Rojop IE, Nicolini H, Gonzalez-Castro TB, Genis-Mendoza AD. Individuals Diagnosed with Binge-Eating Disorder Have DNA Hypomethylated Sites in Genes of the Metabolic System: A Pilot Study. Nutrients 2021, 13: 1413. PMID: 33922358, PMCID: PMC8145109, DOI: 10.3390/nu13051413.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAnorexia NervosaBinge-Eating DisorderDNA MethylationFemaleHumansMaleMetabolismPilot ProjectsConceptsGenome-wide DNA methylation differencesSubunits of AMPKInfinium Methylation EPIC arrayGenome-wide significanceDNA methylation differencesMethylation EPIC arrayDNA methylationMethylation differencesGene expressionMetabolic processesEPIC arrayGenesEnvironmental changesMetabolic systemsImportant insightsEpigeneticsAMPKMethylationSubunitsPRKAG2DNAPresent studySitesExpressionActivationDSM‐5 eating disorder prevalence, gender differences, and mental health associations in United States military veterans
Masheb RM, Ramsey CM, Marsh AG, Decker SE, Maguen S, Brandt CA, Haskell SG. DSM‐5 eating disorder prevalence, gender differences, and mental health associations in United States military veterans. International Journal Of Eating Disorders 2021, 54: 1171-1180. PMID: 33665848, DOI: 10.1002/eat.23501.Peer-Reviewed Original ResearchConceptsPrevalence estimatesDSM-5Disorder diagnosisDisorder groupNight eating syndromeHigher mean BMIUnited States military veteransMental health symptomsBinge Eating DisorderHigher prevalence estimatesMental health concernsMental Health AssociationMean BMIAtypical ANPurging DisorderDisorder prevalenceVeteran populationGender differencesSpecific diagnosisBulimia nervosaAnorexia nervosaHealth symptomsHealth concernNon-eating disorder groupMental healthAtypical Anorexia Nervosa, not so atypical after all: Prevalence, correlates, and clinical severity among United States military Veterans
Masheb RM, Ramsey CM, Marsh AG, Snow JL, Brandt CA, Haskell SG. Atypical Anorexia Nervosa, not so atypical after all: Prevalence, correlates, and clinical severity among United States military Veterans. Eating Behaviors 2021, 41: 101496. PMID: 33711788, DOI: 10.1016/j.eatbeh.2021.101496.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnorexia NervosaBinge-Eating DisorderBulimia NervosaFemaleHumansMalePrevalenceUnited StatesVeteransConceptsAtypical anorexia nervosaBinge Eating DisorderAnorexia nervosaBulimia nervosaMental healthUnited States military veteransSample of veteransDSM-5AAN groupAverage BMISevere underweightMean ageClinical severitySignificant diagnosisMultivariate analysisWorse functioningPast monthDietary restraintDisorder diagnosisDisorder groupNervosaEra veteransDisordersEating DisordersDiagnosis
2020
The prevalence, odds and predictors of lifespan comorbid eating disorder among people with a primary diagnosis of bipolar disorders, and vice-versa: Systematic review and meta-analysis
Fornaro M, Daray F, Hunter F, Anastasia A, Stubbs B, De Berardis D, Shin J, Husain M, Dragioti E, Fusar-Poli P, Solmi M, Berk M, Vieta E, Carvalho A. The prevalence, odds and predictors of lifespan comorbid eating disorder among people with a primary diagnosis of bipolar disorders, and vice-versa: Systematic review and meta-analysis. Journal Of Affective Disorders 2020, 280: 409-431. PMID: 33227671, DOI: 10.1016/j.jad.2020.11.015.Peer-Reviewed Original ResearchMeSH KeywordsAnorexia NervosaBipolar DisorderBulimia NervosaChildComorbidityFeeding and Eating DisordersFemaleHumansLongevityPrevalenceConceptsBinge Eating DisorderPrimary diagnosis of bipolar disorderDiagnosis of bipolar disorderBipolar disorderBD patientsBulimia nervosaED comorbidityMeta-analysisEating DisordersAnorexia nervosaPrimary diagnosisComorbid eating disordersDiagnosis of BDRandom-effects meta-analysisSystematic reviewDiagnosis of ANStatistically significant differenceMeta-regression analysisClinical impactMultiple moderatorsDiagnostic groupsPediatric samplesPrimary EDHigher oddsPatientsZinc Deficiency as a Reversible Cause of Heart Failure.
Rosenblum H, Bikdeli B, Wessler J, Gupta A, Jacoby DL. Zinc Deficiency as a Reversible Cause of Heart Failure. Texas Heart Institute Journal 2020, 47: 152-154. PMID: 32603465, PMCID: PMC7328074, DOI: 10.14503/thij-17-6586.Peer-Reviewed Case Reports and Technical NotesMeSH KeywordsAnorexia NervosaBiomarkersEchocardiographyFemaleHeart FailureHeart VentriclesHumansMalnutritionYoung AdultZincConceptsHeart failureZinc supplementationDepressed left ventricular systolic functionNew-onset heart failureLeft ventricular systolic functionZinc levelsLow plasma zinc levelsZinc deficiencyVentricular systolic functionPlasma zinc levelsCross-sectional studyCardiomyocyte oxidative stressOngoing pathogenesisReversible causesSystolic functionLower plasmaMyocardial structureNutritional deficienciesAnorexia nervosaOxidative stressPatientsSupplementationChief causeDeficiencyFailure
2019
Eating Disorder Screening: a Systematic Review and Meta-analysis of Diagnostic Test Characteristics of the SCOFF
Kutz AM, Marsh AG, Gunderson CG, Maguen S, Masheb RM. Eating Disorder Screening: a Systematic Review and Meta-analysis of Diagnostic Test Characteristics of the SCOFF. Journal Of General Internal Medicine 2019, 35: 885-893. PMID: 31705473, PMCID: PMC7080881, DOI: 10.1007/s11606-019-05478-6.Peer-Reviewed Original ResearchMeSH KeywordsAnorexia NervosaDiagnostic Tests, RoutineFeeding and Eating DisordersFemaleHumansMaleMass ScreeningSurveys and QuestionnairesConceptsBulimia nervosaSystematic reviewAnorexia nervosaStudy qualityMeta-analysisDSM-5Young womenDiagnostic accuracyScreening toolTrial RegistrationThis studyDiagnostic Accuracy Studies-2 toolCase-control studyPreferred Reporting ItemsDiagnostic test characteristicsCommunity-based settingsUseful screening toolNew screening toolRace/ethnicityBackgroundEating disordersClinical characteristicsPrimary careSubgroup analysisFood questionnaireGeneral populationPubMed searchDisparities in DSM‐5 defined eating disorders by sexual orientation among U.S. adults
Kamody RC, Grilo CM, Udo T. Disparities in DSM‐5 defined eating disorders by sexual orientation among U.S. adults. International Journal Of Eating Disorders 2019, 53: 278-287. PMID: 31670848, DOI: 10.1002/eat.23193.Peer-Reviewed Original ResearchGenome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa
Watson H, Yilmaz Z, Thornton L, Hübel C, Coleman J, Gaspar H, Bryois J, Hinney A, Leppä V, Mattheisen M, Medland S, Ripke S, Yao S, Giusti-Rodríguez P, Hanscombe K, Purves K, Adan R, Alfredsson L, Ando T, Andreassen O, Baker J, Berrettini W, Boehm I, Boni C, Perica V, Buehren K, Burghardt R, Cassina M, Cichon S, Clementi M, Cone R, Courtet P, Crow S, Crowley J, Danner U, Davis O, de Zwaan M, Dedoussis G, Degortes D, DeSocio J, Dick D, Dikeos D, Dina C, Dmitrzak-Weglarz M, Docampo E, Duncan L, Egberts K, Ehrlich S, Escaramís G, Esko T, Estivill X, Farmer A, Favaro A, Fernández-Aranda F, Fichter M, Fischer K, Föcker M, Foretova L, Forstner A, Forzan M, Franklin C, Gallinger S, Giegling I, Giuranna J, Gonidakis F, Gorwood P, Mayora M, Guillaume S, Guo Y, Hakonarson H, Hatzikotoulas K, Hauser J, Hebebrand J, Helder S, Herms S, Herpertz-Dahlmann B, Herzog W, Huckins L, Hudson J, Imgart H, Inoko H, Janout V, Jiménez-Murcia S, Julià A, Kalsi G, Kaminská D, Kaprio J, Karhunen L, Karwautz A, Kas M, Kennedy J, Keski-Rahkonen A, Kiezebrink K, Kim Y, Klareskog L, Klump K, Knudsen G, La Via M, Le Hellard S, Levitan R, Li D, Lilenfeld L, Lin B, Lissowska J, Luykx J, Magistretti P, Maj M, Mannik K, Marsal S, Marshall C, Mattingsdal M, McDevitt S, McGuffin P, Metspalu A, Meulenbelt I, Micali N, Mitchell K, Monteleone A, Monteleone P, Munn-Chernoff M, Nacmias B, Navratilova M, Ntalla I, O’Toole J, Ophoff R, Padyukov L, Palotie A, Pantel J, Papezova H, Pinto D, Rabionet R, Raevuori A, Ramoz N, Reichborn-Kjennerud T, Ricca V, Ripatti S, Ritschel F, Roberts M, Rotondo A, Rujescu D, Rybakowski F, Santonastaso P, Scherag A, Scherer S, Schmidt U, Schork N, Schosser A, Seitz J, Slachtova L, Slagboom P, Slof-Op ‘t Landt M, Slopien A, Sorbi S, Świątkowska B, Szatkiewicz J, Tachmazidou I, Tenconi E, Tortorella A, Tozzi F, Treasure J, Tsitsika A, Tyszkiewicz-Nwafor M, Tziouvas K, van Elburg A, van Furth E, Wagner G, Walton E, Widen E, Zeggini E, Zerwas S, Zipfel S, Bergen A, Boden J, Brandt H, Crawford S, Halmi K, Horwood L, Johnson C, Kaplan A, Kaye W, Mitchell J, Olsen C, Pearson J, Pedersen N, Strober M, Werge T, Whiteman D, Woodside D, Stuber G, Gordon S, Grove J, Henders A, Juréus A, Kirk K, Larsen J, Parker R, Petersen L, Jordan J, Kennedy M, Montgomery G, Wade T, Birgegård A, Lichtenstein P, Norring C, Landén M, Martin N, Mortensen P, Sullivan P, Breen G, Bulik C. Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa. Nature Genetics 2019, 51: 1207-1214. PMID: 31308545, PMCID: PMC6779477, DOI: 10.1038/s41588-019-0439-2.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesTwin-based heritability estimatesEating Disorders Working GroupPsychiatric Genomics ConsortiumAnorexia nervosaBody-mass indexSignificant lociGenetic architectureRisk lociGenetics InitiativeGenomics ConsortiumLow body-mass indexMetabo-psychiatric disorderGenetic correlationsMetabolic componentsLociCases of anorexia nervosaPhysical activityAnthropometric traitsPsychiatric disordersHeritability estimatesAnorexia Nervosa Genetics InitiativeNervosaImprove outcomes
2018
Genetic influences on eight psychiatric disorders based on family data of 4 408 646 full and half-siblings, and genetic data of 333 748 cases and controls
Pettersson E, Lichtenstein P, Larsson H, Song J, Agrawal A, Børglum A, Bulik C, Daly M, Davis L, Demontis D, Edenberg H, Grove J, Gelernter J, Neale B, Pardiñas A, Stahl E, Walters J, Walters R, Sullivan P, Posthuma D, Polderman T. Genetic influences on eight psychiatric disorders based on family data of 4 408 646 full and half-siblings, and genetic data of 333 748 cases and controls. Psychological Medicine 2018, 49: 1166-1173. PMID: 30221610, PMCID: PMC6421104, DOI: 10.1017/s0033291718002039.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholismAnorexia NervosaAttention Deficit Disorder with HyperactivityAutism Spectrum DisorderBipolar DisorderCase-Control StudiesCohort StudiesDepressive Disorder, MajorFamilyFemaleGene-Environment InteractionGenotypeHumansMaleMental DisordersObsessive-Compulsive DisorderQuantitative Trait, HeritableSchizophreniaSchizophrenic PsychologySiblingsSwedenAir in the portal space: where does it come from?
Elizondo-Romo R, Nuñez-Zuno J, Jiménez-González I, Montiel-Nuñez E, Jiménez J, Carrillo-Pérez D. Air in the portal space: where does it come from? Postgraduate Medical Journal 2018, 94: 665-665. PMID: 29921721, DOI: 10.1136/postgradmedj-2018-135845.Peer-Reviewed Original ResearchPrevalence and Correlates of DSM-5–Defined Eating Disorders in a Nationally Representative Sample of U.S. Adults
Udo T, Grilo CM. Prevalence and Correlates of DSM-5–Defined Eating Disorders in a Nationally Representative Sample of U.S. Adults. Biological Psychiatry 2018, 84: 345-354. PMID: 29859631, PMCID: PMC6097933, DOI: 10.1016/j.biopsych.2018.03.014.Peer-Reviewed Original Research
2017
Screen for Disordered Eating: Improving the accuracy of eating disorder screening in primary care
Maguen S, Hebenstreit C, Li Y, Dinh JV, Donalson R, Dalton S, Rubin E, Masheb R. Screen for Disordered Eating: Improving the accuracy of eating disorder screening in primary care. General Hospital Psychiatry 2017, 50: 20-25. PMID: 28987918, DOI: 10.1016/j.genhosppsych.2017.09.004.Peer-Reviewed Original ResearchConceptsBinge Eating DisorderPrimary careBulimia nervosaAnorexia nervosaDisorder ScreenPrimary care settingEating DisordersCross-sectional surveyEating Disorder Examination QuestionnaireEating Disorder ScreenCare settingsPrevalence ratesDisorder Examination QuestionnaireCases of BNDisordered EatingDiscriminative accuracyDisordersCareTrue casesExamination QuestionnaireFirst screenNervosaGood specificityEatingSCOFF
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